Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E63294707A60797A323782F4B2E48FDD6089F30EDB139C64F2D821561BCECA59E566C4 |
|
CONTENT
ssdeep
|
192:lbv+SBBwtA4ZuyvMcmckiwMWaNeq6UWZ2s7t49mF7Wfgx3fbPlj97Gl:lT+SDLuuyvDpx5iOWZJt49m7Wm3fbPle |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999d8ccccf23362 |
|
VISUAL
aHash
|
9818181810000000 |
|
VISUAL
dHash
|
32b2323220000000 |
|
VISUAL
wHash
|
ff18183818100000 |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
32b2323220000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 550 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.